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Tesla’s Battery strategy is in preparation for two of its most anticipated vehicles
Tesla has continued to attempt to improve its battery packs and cells despite being the industry leader in EV battery tech. Interestingly enough, the electric car company located in Silicon Valley has had some of the best vehicles in terms of EV range in the past ten years. While other car companies were struggling to equip their attempts at electric cars with 100 miles of usable range, Tesla was and has been pushing the envelope since the original Roadster in 2008.
But even though the company has facilitated several vehicles in its fleet to have over 300 miles of range, and one with over 400 miles, it hasn’t been enough to let Tesla’s battery engineers rest. Even though the Model S Long Range Plus configuration packs 402 miles of electric range, which is plenty for most drivers, Tesla has several cars in the works that pack considerably more range than that. These are also not your “run of the mill” EVs, either. They are the Tri-Motor Cybertruck and the next-gen Roadster.
Batteries are what drive an EV to be all that it can be. They are responsible for the range and the performance of the car, along with the motors and engineering of the chassis and body. However, battery tech is ultimately what decides if a vehicle is going to be a successful electric car or just another one to add to the list of underperforming automobiles.
The key to building a great electric car, like anything else, is starting at the foundation. When you want to make a great pizza, you start with great dough. When you want to make a great EV, you start with the battery cells.
The problem with batteries is that there are no two cells that are the same when the materials that are used within are concerned. Not only that, but sometimes the elements that make some batteries stable and help with energy density are controversial. This is the case with cobalt.
But before I go into a spiel about Tesla’s use of cobalt and how the company responsibly sources it, let’s stay on topic.
Tesla’s battery teams in Canada, led by Jeff Dahn at Dalhousie University, released a new paper this week that indicated an electrolyte solution could contribute to increased battery energy density, and could lead to an extended lifespan.
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The solution would be used to combat the effects of degradation, and would ultimately lead to a longer life span and increased energy density. Enter the Tri-Motor Cybertruck and Roadster.
Both of these cars have range ratings that are well above the Model S Long Range Plus variant. The Cybertruck’s Tri-Motor will have 500+ miles of range, and the Roadster will have 620 miles.
However, Tesla’s current cells are not capable of holding this amount of range. If the batteries are not capable of holding excessive amounts of energy density, they will not perform in the fashion that they were intended. Therefore, Tesla has to continue developing its cells to promote longer-range driving and a long lifespan.
Starting with the Cybertruck, which has an estimated range of “500+ miles,” according to Tesla’s website. Currently, Tesla does not have a battery pack released that is capable of that kind of range, so the batteries must improve. The Tri-Motor setup will certainly help with the towing capacity and acceleration. Still, the battery pack within the Cybertruck has to work efficiently to not only supply power to those motors, but it also has to maintain energy so it can keep range at a reasonable level.
With the Roadster, things are slightly different. This car will (more than likely) not be towing things or have excessive amounts of cargo in the back, so there isn’t as much involved with maintaining range through laborious work. However, it is one of the fastest cars ever made, and Elon Musk has said in the past that the range of the Roadster will be over 1,000 kilometers or 621 miles.
Ultimately, the development of Tesla’s cells has to continue to improve. Obviously, the battery packs for both of the vehicles that were talked about in this article will have battery packs that are larger than the 100 kWh packs that Tesla puts in the Performance variants of the Model S and Model X. But there is a chance that Tesla equips the Cybertruck and Roadster with smaller, more energy-dense batteries like the 2170 cells that are used in the Model 3 and Model Y.
Lucid’s reveal of the 517-mile range that their new EV, the Air, has, certainly must have lit a fire under the rear-ends of Tesla’s battery engineers. Tesla has had a reputation of being the EV company with the best range, and now that Lucid “technically” has the title for that, even though the car isn’t in production, Tesla will likely be gearing up for a takeback of that label.
Tesla’s battery strategy from here on out will be interesting considering other auto companies have proven they are capable of competing in terms of EV range. There is still the fact that Tesla is actually producing these cars on a massive scale and we know that the company’s cars can perform, we don’t know this about the other vehicles yet.
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Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
